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|Title:||Transmit optimization with improper gaussian signaling for interference channels||Authors:||Zeng, Y.
|Keywords:||Improper Gaussian signaling
widely linear precoding
|Issue Date:||2013||Citation:||Zeng, Y., Yetis, C.M., Gunawan, E., Guan, Y.L., Zhang, R. (2013). Transmit optimization with improper gaussian signaling for interference channels. IEEE Transactions on Signal Processing 61 (11) : 2899-2913. ScholarBank@NUS Repository. https://doi.org/10.1109/TSP.2013.2254480||Abstract:||This paper studies the achievable rates of Gaussian interference channels with additive white Gaussian noise (AWGN), when improper or circularly asymmetric complex Gaussian signaling is applied. For the Gaussian multiple-input multiple-output interference channel (MIMO-IC) with the interference treated as Gaussian noise, we show that the user's achievable rate can be expressed as a summation of the rate achievable by the conventional proper or circularly symmetric complex Gaussian signaling in terms of the users' transmit covariance matrices, and an additional term, which is a function of both the users' transmit covariance and pseudo-covariance matrices. The additional degrees of freedom in the pseudo-covariance matrix, which is conventionally set to be zero for the case of proper Gaussian signaling, provide an opportunity to further improve the achievable rates of Gaussian MIMO-ICs by employing improper Gaussian signaling. To this end, this paper proposes widely linear precoding, which efficiently maps proper information-bearing signals to improper transmitted signals at each transmitter for any given pair of transmit covariance and pseudo-covariance matrices. In particular, for the case of two-user Gaussian single-input single-output interference channel (SISO-IC), we propose a joint covariance and pseudo-covariance optimization algorithm with improper Gaussian signaling to achieve the Pareto-optimal rates. By utilizing the separable structure of the achievable rate expression, an alternative algorithm with separate covariance and pseudo-covariance optimization is also proposed, which guarantees the rate improvement over conventional proper Gaussian signaling. © 1991-2012 IEEE.||Source Title:||IEEE Transactions on Signal Processing||URI:||http://scholarbank.nus.edu.sg/handle/10635/83217||ISSN:||1053587X||DOI:||10.1109/TSP.2013.2254480|
|Appears in Collections:||Staff Publications|
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